Machine Learning Engineer (Intelligent Sensing Technology)

Quick Facts

• Role: Machine Learning Engineer (Intelligent Sensing Technology) — Incubation

• Focus: ML research and full-stack prototyping for intelligent sensing experiences

Description

You’ll join a camera incubation team exploring new architectures and technologies for intelligent cameras. The role spans the full stack—from model training and systems integration to rapid prototyping—leveraging practical ML/AI expertise and multimodal sensing for physical spaces. You’ll work across exploratory projects, helping move ideas from experiment to integrated system while clearly communicating motivation, tradeoffs, and risks.

Responsibilities

• Develop, train, and integrate ML models into sensing systems

• Build end-to-end ML pipelines: data acquisition, preprocessing, training, evaluation, and deployment

• Prototype rapid exploratory projects for intelligent sensing in physical spaces

• Fuse multimodal signals (vision, audio, IMU, LiDAR) with ML models

• Enable ML models to run on mobile, wearable, or robotic platforms

Requirements

• BS plus at least 3 years of relevant industry experience in machine learning or AI engineering

• Familiarity with state-of-the-art architectures including transformers, reinforcement learning, and predictive inference

• Strong coding skills with modern ML frameworks (e.g., PyTorch) and practical tooling experience

• Proven experience building end-to-end ML pipelines (data acquisition and preprocessing through training, evaluation, and deployment)

• Experience architecting and integrating sensing systems that fuse multimodal signals (vision, audio, IMU, LiDAR) with ML models running on mobile, wearable, or robotic platforms

Benefits

• Opportunity to shape intelligent camera capabilities through rapid incubation and prototyping

• Work in a collaborative, design-centric environment translating experiments into integrated systems